2024 Masters Summer Intern - Quantitative Research Analyst, Portfolio Management, US

Job Title

2024 Masters Summer Internship - Quantitative Research Analyst, Portfolio Management

Job Location

PIMCO’s Newport Beach, CA Headquarters

Job Overview

• This internship position is for a Quantitative Research Analyst in the Portfolio Management team.
• You will have the opportunity to work closely with Portfolio Management in providing quantitative input to PIMCO’s investment process.
• Tasks include developing models for alpha generation, managing risk, performing econometric analyses, and building empirical and risk-neutral valuation models.
• You will have the chance to collaborate with both discretionary and quantitative portfolio managers across all asset classes.

Compensation

• PIMCO follows a total compensation approach.
• Salary: $165,000.00
• Compensation includes a base salary and a discretionary bonus.
• Base salary is determined by core job responsibilities, relevant experience, internal level, and market factors.
• The discretionary bonus is used to award performance based on company, business, team, and individual performance.

Responsibilities

• Work closely with Portfolio Management in quantitative research and analysis.
• Develop models for alpha generation and manage risk.
• Perform econometric analyses of historic returns.
• Build empirical and risk-neutral valuation models.
• Apply macroeconomic research and analyze large sets of transaction data.

Requirements

• Quantitative Master’s degree (financial engineering or other technically demanding program such as theoretical physics or math) with an expected graduation date of December 2024 - June 2025.
• Bachelor’s degree focus in Finance, Economics, or other technical degree is preferred.
• Minimum 3.2 cumulative collegiate grade point average on a 4.0 scale or the equivalent.
• Fluent in English (speaking, reading, writing).

Desired Skills and Characteristics

• Interest and background in finance theory, especially portfolio theory, asset allocation techniques, option pricing, and asset pricing.
• Programming skills and numerical problem-solving techniques.
• Training and experience with Python, Matlab, SAS, C++, or other related language. SQL knowledge preferred.
• Formal training in Econometrics is desired, particularly time series econometrics such as vector auto regression, error correction models, Kalman filtering techniques, etc.
• Comfortable working with large data sets, both structured and unstructured.
• Good exposure to and knowledge of financial markets.
• Ethical, intellectually curious, collaborative, organized, flexible, high energy, self-starter, accountable, humble.

We're excited for you to apply!